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CN106682439A - Investigational follow-up based medical record screening method - Google Patents

Investigational follow-up based medical record screening method
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Publication number
CN106682439A
CN106682439ACN201611270995.9ACN201611270995ACN106682439ACN 106682439 ACN106682439 ACN 106682439ACN 201611270995 ACN201611270995 ACN 201611270995ACN 106682439 ACN106682439 ACN 106682439A
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Prior art keywords
dimension
screening
diagnosis
sub
case history
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CN201611270995.9A
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Chinese (zh)
Inventor
毛奎彬
陈勇强
邝洋辉
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Guangzhou Wisefly Information System Technology Co Ltd
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Guangzhou Wisefly Information System Technology Co Ltd
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Abstract

The invention discloses an investigational follow-up based medical record screening method. The method includes: initializing main dimensionalities and sub-dimensionalities for screening; allowing a user to set screening conditions according to demands, and adopting a keyword screening method to input to-be-screened keywords under corresponding dimensionalities so as to complete screening condition setup after confirmation; screening, to be more specific, firstly, importing historical medical records of a department into a medical record screening system through an interface; secondly, screening the imported medical records one by one according to the screening conditions set in the above step; thirdly, performing statistics of occurrence of hospitalization numbers under the main dimensionalities and the sub-dimensionalities, associating the hospitalization numbers with files of patients, regulating to generate a five-level summary table which includes complete information of the patients, and showing to users. According to different diagnosis and treatment way standards, electronic medical records in the system are analyzed to screen out medical records in accordance with research direction, and a follow-up list is obtained after regulation, so that medical record screening efficiency of researchers can be effectively improved, and the screening error rate is decreased.

Description

Case history screening technique based on research follow-up
Technical field
The present invention relates to field of medical technology, particularly relates to a kind of case history screening technique based on research follow-up.
Background technology
Follow-up is a kind of important means in clinical research, refer to hospital to once the patient of hospital admission with communicate or otherMode, periodically understood conditions of patients change and instructed a kind of observational technique of Rehabilitation.By follow-up, doctor can be withUnderstand the recovery situation after patient discharge, grasp the firsthand information to carry out statistical analysiss, accumulate experience, judge the effect of diagnosis and treatmentReally, it is significant to clinical research.In order to draw follow-up list, doctor needs the purpose according to research, the history to section officeCase history is screened, and filters out the case history related to research and sick list, and then carries out follow-up.The current sieve to hospital's case historyBased on artificial operation, error rate is high, and inefficiency wastes time and energy, and needs a kind of method of computational screening case history for choosing.
Therefore, it is necessary to design a kind of new case history screening technique based on research follow-up, asked with solving above-mentioned technologyTopic.
The content of the invention
For problem present in background technology, it is an object of the invention to provide a kind of case history based on research follow-up is sievedChoosing method, according to different diagnosis, therapeutic modality standard, is analyzed to the electronic health record in system, filters out and meets researchThe case history in direction, arrangement draws follow-up list, can effectively improve screening efficiency of the research worker to case history, reduces screening errorRate.
The technical scheme is that what is be achieved in that:A kind of case history screening technique based on research follow-up, including withXia Bu Sudden:(1) initialization operation:Each dimension for being screened of initialization, each dimension is divided into different main dimension and subordinateThe many sub- dimensions under each main dimension;(2) screening conditions arrange operation:User arranges according to demand screening conditions, using passKeyword screening method, is input into key word to be screened under corresponding dimension, screening conditions is completed after confirmation and arranges operation;(3) screening operation:Firstly, it is necessary to by the history case history of this section office, Jing interfaces are imported in case history screening system;Subsequently, importingCase history according to above-mentioned steps arrange screening conditions screen portionwise;(4) Classifying Sum operation:Statistics admission number is in main dimensionSituation about occurring under lower and sub- dimension, admission number is associated with patient files, is arranged and is generated the Pyatyi comprising patient's complete informationSummary sheet presents to user.
In above-mentioned technical proposal, the main dimension includes the main dimension of diagnosis and the main dimension of therapeutic modality.
In above-mentioned technical proposal, the main dimension of the diagnosis and the main dimension of therapeutic modality are divided into respectively 4 sub- dimensions.
In above-mentioned technical proposal, the main dimension of the diagnosis is divided into AD, discharge diagnosis, pathological diagnosis and inspection and examinesDisconnected sub- dimension.
In above-mentioned technical proposal, the main dimension of the therapeutic modality is divided into modus operandi, medicine, test mode and shieldThe sub- dimension of reason mode.
In above-mentioned technical proposal, arranging key word under the main dimension of the diagnosis can count AD, discharge diagnosis, diseaseReason diagnosis and the sub- dimension dependency summary sheet of inspection diagnosis.
In above-mentioned technical proposal, the Pyatyi summary sheet includes the main dimension summary sheet of diagnosis of the first order, the second levelAD, discharge diagnosis, pathological diagnosis and each summary sheet of the sub- dimension of inspection diagnosis, the AD of the third level and discharge diagnosisAnd pathological diagnosis and check the sub- dependency summary sheet of dimension of diagnosis, the main dimension summary sheet of therapeutic modality of the fourth stage and theAny one sub- dimension summary sheet in the modus operandi of Pyatyi, medicine, test mode and the sub- dimension of nursing care mode.
In above-mentioned technical proposal, patient's complete information includes name corresponding with admission number, sex, age, electricityWords number.
Comparing artificial screening method wastes time and energy, less efficient, needs to pay higher human cost, and the present invention is based on and grindsThe case history screening technique of the property studied carefully follow-up, by initializing each dimension screened, screening conditions arrange operation and screen behaviourMake and Classifying Sum operation, the lengthy procedure of artificial screening check and correction can be exempted, it is according to different diagnosis, therapeutic modality markStandard, is directly analyzed by computer to the electronic health record in system, filters out the case history for meeting research direction, and arrangement drawsFollow-up list, can effectively improve screening efficiency of the research worker to case history, reduce screening error rate.
Description of the drawings
Fig. 1 is case history screening technique schematic flow sheet of the present invention based on research follow-up;
Fig. 2 is screening operation particular flow sheet in Fig. 1.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, completeSite preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.Based on thisEmbodiment in invention, the every other reality that those of ordinary skill in the art are obtained under the premise of creative work is not madeExample is applied, the scope of protection of the invention is belonged to.
As shown in figure 1, a kind of case history screening technique based on research follow-up of the present invention, comprises the following steps:
(1) initialization operation:Mainly initialize each dimension screened.Wherein, two main dimensions are divided into diagnosis masterDimension and the main dimension of therapeutic modality, two main dimensions can proceed subdivision again, in the present embodiment, diagnose main dimension and controlThe main dimension for the treatment of mode is divided into respectively 4 sub- dimensions, diagnoses main dimension and is divided into AD, discharge diagnosis, pathological diagnosis and inspectionLook into the sub- dimension of diagnosis;The main dimension of therapeutic modality is divided into the sub- dimension of modus operandi, medicine, test mode and nursing care mode, such asShown in table 1 below:
Table 1
(2) screening conditions arrange operation
User according to demand, arranges the condition of screening.Screening adopts key word screening method, and user is defeated under corresponding dimensionEnter key word to be screened, screening conditions are completed after confirmation operation is set.Screening conditions need not be arranged each, can be withArrange under diagnosis or therapeutic modality the two big dimensions, it is also possible to the setting in breakdown under two big dimensions.Multiple key words can be screened under same dimension.It is as shown in table 2 below:
Table 2
(3) screening operation:
As shown in Figure of description 2, firstly, it is necessary to by the history case history of this section office, via certain interface, import case historyIn screening system.After importing via interface, the various pieces of electronic health record can be recognized by case history screening system, so as to filter out passKeyword.
Subsequently, screen portionwise in the case history for importing.If in key word is arranged under " diagnosis " this main dimension, in sonKey word is not provided with dimension, then case history in AD, discharge diagnosis, pathological diagnosis and will be checked diagnosis four respectivelyIndividual part is screened respectively one time, is retrieved once in certain sub- dimension, and being in hospital for the case history is just recorded under corresponding sub- dimensionNumber once.So as to each one table of self-generating of four sub- dimensions.After having screened a patient, into the case history of next patientScreened, till whole case histories have been screened.
After having screened, four sublists are collected, as long as occurring in four dimensions, just record at summary table and be in hospitalNumber, draw the related summary table of being in hospital of a diagnosis.If being not provided with key word under " diagnosis " this main dimension, only in sub- dimensionDegree is lower to arrange key word, then just in the corresponding part search key of each part case history, after retrieving key word, just in the sublistLower record admission number.Summary table need not be aggregated into after having screened.After " diagnosis " this dimension has been screened, enter " therapeutic modality " thisDimension is screened.The screening of this dimension is on the basis of upper dimension, only to screen in upper dimensionScreen in case history.If in arranging key word under " therapeutic modality " main dimension, then will be by case history in modus operandi, treatmentMedicine, test mode, four parts of nursing care mode are retrieved respectively once, are retrieving once per individual sub- dimension, just correspondingThe admission number of the case history is recorded under sub- dimension once.So as to each one table of self-generating of four sub- dimensions.
After having screened a patient, the case history into next patient is screened, and has been screened until whole case histories and isOnly.After having screened, four sublists are collected, as long as occurring in four dimensions, admission number is just recorded at summary table, obtainedGo out the related summary table of being in hospital of a therapeutic modality.
If being not provided with key word under " therapeutic modality " this sub- dimension, and key word is set under sub- dimension, thatJust in the corresponding part search key of each part case history, after retrieving key word, just admission number is recorded under the sublist.ScreeningSummary table need not be aggregated into after complete.Any key word can not be set in diagnosis dimension and only key word is set in therapeutic modality dimension,Any key word can not also be set in therapeutic modality and only key word is set in diagnosis dimension.
(4) Classifying Sum operation:Two dimensions are divided into into different sub- dimensions, are numbered respectively, it is as shown in table 3 below:
Table 3
After the completion of previous action, 10 tables are at most generated, be respectively that A, A1, A2, A3, A4, B, B1, B2, B3, B4 are commonTable under 10 dimensions.If being to arrange key word under " diagnosis " main dimension, can generate under " diagnosis " dimension A, A1,A2, A3, A4 totally five tables, if in key word is arranged under sub- dimension, can only generate the one or several sheets under the sub- dimension of correspondenceTable.It is as the same under " therapeutic modality " dimension.
If being that key word is arranged under " diagnosis " main dimension, system can statistic correlation.If an admission numberAll occur in four sublists, then record admission number in " A1+A2+A3+A4 " table, if all gone out in tri- tables of A1, A2, A3Show, then the admission number in " A1+A2+A3 " table.The rest may be inferred, and symbiosis is into 15 tables.
Because there is no comparability under " therapeutic modality " dimension between each project, correlation statistics are not carried out.Generate withAfter upper form, enter and collect operation, collect for 5 levels:
I levels:A dimension summary tables.Under the key word that " diagnosis " main dimension is arranged, any subitem is related to the case history of key wordAdmission number all can be recorded in this one-level table, if being not provided with key word under " diagnosis " main dimension, this grade of table is not deposited.
II levels:Under " diagnosis " each sub- dimension, there is the admission number of the case history of key word, if in the main dimension of diagnosisWith any key word is not filled under sub- dimension, this one-level table is not present.
III level:Dependency table.This one-level has 15 tables, and the feelings that this key word occurs in each project are represented respectivelyCondition, if not filling in any key word under the main dimension and sub- dimension of diagnosis, this one-level table is not present.
IV levels:B dimension summary tables.In screened case history inventory is diagnosed, it is related to " therapeutic modality " target criticalThe admission number inventory of the case history of word, if not filling in any key word under the main dimension and sub- dimension of therapeutic modality, thisLevel table is not present.
V levels:Under " therapeutic modality " each sub- dimension, there is the admission number of the case history of key word, if in therapeutic modalityMain dimension and sub- dimension under do not fill in any key word, this one-level table is not present.
After generating the table of above-mentioned five ranks, admission number is associated with patient files, sorts out name, the property of patientNot, the information needed of contact method, generates the Pyatyi summary sheet comprising patient's complete information, presents to user.
It is as follows an instantiation explanation:Now three parts of case histories are had in the case history storehouse of Digestive System Department, its diagnosis and treatment situation is such asShown in table 4 below:
Table 4
The key word of setting is as shown in table 5 below:
Table 5
Key word " digestive tract hemorrhage " is set in " diagnosis " main dimension, following four sublists and a summary table is obtained:
A1:
1000210003
A2:
10002
A3:
A4:
1000210003
A:
1000210003
Dependency table:
A1+A2+A4:
10002
A2+A4:
10003
(other 13 tables are sky, omit herein)
B:
10002
B2:
10002
It is collated and associate with patient files and can obtain Pyatyi table:
One-level:
Admission numberNameSexAgeTelephone number……
10002………………
10003……………………
……
Two grades:
AD:
Admission numberNameSexAgeTelephone number……
10002……………………
10003……………………
Discharge diagnosis:
Admission numberNameSexAgeTelephone number……
10002……………………
Pathological diagnosis:
Admission numberNameSexAgeTelephone number……
Check diagnosis:
Admission numberNameSexAgeTelephone number……
10002……………………
10003……………………
Three-level:
AD+discharge diagnosis+inspection diagnosis:
Admission numberNameSexAgeTelephone number……
10002……………………
AD+inspection diagnosis:
Admission numberNameSexAgeTelephone number……
10003……………………
Level Four:
Admission numberNameSexAgeTelephone number……
10002……………………
Pyatyi:
Medicine:
Admission numberNameSexAgeTelephone number……
10002……………………
To sum up:Comparing artificial screening method wastes time and energy, less efficient, needs to pay higher human cost, the present inventionBased on the case history screening technique of research follow-up, by initializing each dimension screened, screening conditions arrange operation andScreening operation and Classifying Sum are operated, and can exempt the lengthy procedure of artificial screening check and correction, and it is according to different diagnosis, treatmentMode standard, is directly analyzed by computer to the electronic health record in system, filters out the case history for meeting research direction, wholeReason draws follow-up list, can effectively improve screening efficiency of the research worker to case history, reduces screening error rate.
Presently preferred embodiments of the present invention is the foregoing is only, not to limit the present invention, all essences in the present inventionWithin god and principle, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.

Claims (8)

CN201611270995.9A2016-12-302016-12-30Investigational follow-up based medical record screening methodPendingCN106682439A (en)

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Cited By (9)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN109243549A (en)*2018-07-112019-01-18腾讯科技(深圳)有限公司A kind of intelligent follow-up method, device and server
CN109841285A (en)*2017-11-282019-06-04北京市眼科研究所A kind of clinical research cooperative system and method
CN110400613A (en)*2019-06-102019-11-01南京医基云医疗数据研究院有限公司A kind of follow-up patient screening method, apparatus, readable medium and electronic equipment
CN111192689A (en)*2018-11-152020-05-22零氪科技(北京)有限公司Patient identification method based on medical data
CN113643778A (en)*2021-10-142021-11-12山东大学齐鲁医院In-hospital cardiac arrest screening method and system based on electronic medical record data
CN113643777A (en)*2021-10-122021-11-12山东大学齐鲁医院 Out-of-hospital cardiac arrest data processing method and system
CN114360672A (en)*2020-10-132022-04-15上海市嘉定区南翔医院Hospital general surgery scientific research data platform query system and method
CN114678091A (en)*2022-03-082022-06-28乔艳丽 Inpatient information management method and system
CN117251556A (en)*2023-11-172023-12-19北京遥领医疗科技有限公司Patient screening system and method in registration queue

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US20070156757A1 (en)*2005-12-212007-07-05Xiaofeng Tang computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion
CN105574030A (en)*2014-10-162016-05-11腾讯科技(深圳)有限公司Information search method and device
CN104598740A (en)*2015-01-262015-05-06曹庆恒Method, system and equipment for intelligent medication guidance
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Cited By (11)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN109841285A (en)*2017-11-282019-06-04北京市眼科研究所A kind of clinical research cooperative system and method
CN109243549A (en)*2018-07-112019-01-18腾讯科技(深圳)有限公司A kind of intelligent follow-up method, device and server
CN111192689A (en)*2018-11-152020-05-22零氪科技(北京)有限公司Patient identification method based on medical data
CN111192689B (en)*2018-11-152023-11-24零氪科技(北京)有限公司Patient identification method based on medical data
CN110400613A (en)*2019-06-102019-11-01南京医基云医疗数据研究院有限公司A kind of follow-up patient screening method, apparatus, readable medium and electronic equipment
CN114360672A (en)*2020-10-132022-04-15上海市嘉定区南翔医院Hospital general surgery scientific research data platform query system and method
CN113643777A (en)*2021-10-122021-11-12山东大学齐鲁医院 Out-of-hospital cardiac arrest data processing method and system
CN113643778A (en)*2021-10-142021-11-12山东大学齐鲁医院In-hospital cardiac arrest screening method and system based on electronic medical record data
CN113643778B (en)*2021-10-142022-01-21山东大学齐鲁医院In-hospital cardiac arrest screening method and system based on electronic medical record data
CN114678091A (en)*2022-03-082022-06-28乔艳丽 Inpatient information management method and system
CN117251556A (en)*2023-11-172023-12-19北京遥领医疗科技有限公司Patient screening system and method in registration queue

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Application publication date:20170517


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